_sparse_tools.py 文件源码

def sparse_eigenspectrum(sparse_operator):
    """Perform a dense diagonalization.

    Returns:
        eigenspectrum: The lowest eigenvalues in a numpy array.
    """
    dense_operator = sparse_operator.todense()
    if is_hermitian(sparse_operator):
        eigenspectrum = numpy.linalg.eigvalsh(dense_operator)
    else:
        eigenspectrum = numpy.linalg.eigvals(dense_operator)
    return numpy.sort(eigenspectrum)